Triple
T15424204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Felipe López |
E369462
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Santo Domingo |
unclear NED1
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Santo Domingo | Statement: [Luis Felipe López, placeOfBirth, Santo Domingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Domingo Context triple: [Luis Felipe López, placeOfBirth, Santo Domingo]
-
A.
Santo Domingo
Santo Domingo is a major city in Ecuador known as a commercial and transportation hub in the country’s central coastal region.
-
B.
Santo Domingo
Santo Domingo is a major city in central Chile that forms part of the coastal area within the Province of San Antonio.
-
C.
Santo Domingo
Santo Domingo is a small lakeside village on Nicaragua’s Ometepe Island, known for its long sandy beach along Lake Nicaragua and laid-back rural atmosphere.
-
D.
Santo Domingo
Santo Domingo is a municipality in central Cuba’s Villa Clara Province, known for its agricultural economy and rural communities.
-
E.
Santo Domingo
Santo Domingo is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural economy and historic churches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a18c548190b8591776828c1793 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.